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Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or not (N). As in most AI fields today, the most powerful models are usually based on transformer architectures. While these cont…

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Fraunhofer SIT · SIT - Secure Information Technology

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The Fraunhofer Institute for Secure Information Technology SIT is one of the leading research and development institutions for cybersecurity in Germany and Europe and is part of ATHENE, the national research center for applied cybersecurity. ATHENE is a collaboration between the Fraunhofer Society, TU Darmstadt, Hochschule Darmstadt, and Goethe University Frankfurt. Our common goal: to make the world of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model…

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Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to images in which erotic poses or partial sections of pornographic scenes can be recognised. Here, poses and facial expressions can be used for classification, among other things [2].…

🇩🇪 Darmstadt

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Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to people in skin-tight latex or leather clothing. Existing approaches in the field of "Human Parsing" can already segment people and their clothing well. Additionally, datasets like Fashionpedia [2]…

🇩🇪 Darmstadt

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Fraunhofer SIT · SIT - Sichere Informationstechnologie

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Masterarbeit: Erklärbarkeit von Transformer-Modellen in der Autorschaftsverifikation

Hintergrund/Motivation: Autorschaftsverifikation (AV) wird in Bereichen wie Forensik, Plagiatserkennung und Fake-News-Detektion eingesetzt, um den wahren Urheber eines Textes zu identifizieren. Ziel der AV ist es, zu klassifizieren, ob zwei oder mehr Texte von demselben Autor verfasst worden sind (Y) oder nicht (N). Wie in den meisten KI-Feldern heutzutage, basieren die leistungsfähigsten Modelle meist auf Transformer-Architekturen. Während diese kontinuierlich neue Bestleistungen erzielen, beschränkt sich die Anwendung von Methoden zur Explainability (Erklärbarkeit) meist auf etwas ältere…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Master's Thesis: Explainability of Transformer Models in Authorship Verification

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Master's Thesis: Localisation of Safety Neurones in Text2Image Models

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Master's Thesis: Detection and Segmentation of Suggestive Clothing

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Master's Thesis: Attacking Current Backdoor Detection Methods

Masterarbeit: Erklärbarkeit von Transformer-Modellen in der Autorschaftsverifikation

Studentische Hilfskraft im Bereich Weiterbildungskurse in IT-Forensik und KI-Sicherheit